Relationship between Rural Independent Landscape Development Factors and Coastal Tourism Development Benefits Using Quality function deployment (QFD)

Document Type : Original Article

Authors

1 Associate Professor of Geography and Rural Planning, University of Guilan

2 PhD in Geography and Rural Planning, Sistan and Baluchestan University, Zahedan, Iran

Abstract

.The present research is a combination (qualitative and quantitative) in terms of purpose, application and method. Data collection tools are questionnaires, interviews and observations. The statistical population of households in coastal villages of the city (3720 households) is Chabahar. From this number, 280 households and six coastal villages with tourist attractions were selected as a sample using the Cochran's formula and quota sampling method. To answer the research questions, the Exploratory Exponential Coherence Test and the Quality Performance Development (QFD) model were used. The research findings indicate that among the eight factors of local culture and art, creative development, local resources and performance, geographical factor, force Humanity, expertise and knowledge, characteristics of integration and management and maintenance, four factors: local resources and economic performance, culture and art, geography and manpower, are the most important factors in the development of independent rural landscape in Chabahar city. The results of QFD model and communication matrix showed that the above factors were most associated with maintaining environmental quality, reducing environmental vulnerability, mobilizing the local economy and creating rural employment. Also, through interviews with local people and the results of the QFD model, five strategies for developing an independent landscape and rural tourism were developed according to the requirements and indicators used, which are: training of specialized manpower, strengthening the participation of villagers in tourism activities.

Keywords

References

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Geographical Studies of Coastal Areas Journal
Volume 1, Issue 2 - Serial Number 2
March 2021
Pages 111-140

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